반응형
250x250
Notice
Recent Posts
Recent Comments
Link
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 |
Tags
- 에지 검출
- evaluating object hallucination in large vision-language models paper
- 기계학습
- polling-based object probing evaluation
- vlm hallucination paper
- 논문 리뷰
- object detection
- clip
- dinov2 논문 리뷰
- 1차 미분 마스크
- 이미지 필터링
- mobilenetv1
- vlm hallucination
- dinov2: learning robust visual features without supervision 논문
- 논문 요약
- evaluating object hallucination in large vision-language models
- vlm 환각이란
- clip adapter
- 딥러닝 엔트로피
- vlm 환각
- 엔트로피란
- Object detection article
- evaluating object hallucination in large vision-language models 논문
- 원격 학습 안끊기게
- vlm
- dinov2: learning robust visual features without supervision 논문 리뷰
- 딥러닝 목적함수
- blip-2
- 객체 검출
- dinov2: learning robust visual features without supervision
Archives
- Today
- Total
목록vision trasnformer 논문 (1)
My Vision, Computer Vision

An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleWhile the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited. In vision, attention is either applied in conjunction with convolutional networks, or used to reparxiv.orgAbstractTransformer가 사실상 NLP 분야의 표준이 되었지만 Computer vision에 ..
Paper
2024. 8. 27. 19:38